Matrix-variate and higher-order probabilistic projections

DOI10.1007/S10618-010-0183-9zbMath1235.62064OpenAlexW2018326237MaRDI QIDQ408620

Jinbo Bi, Jieping Ye, Shipeng Yu

Publication date: 11 April 2012

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-010-0183-9

zbMATH Keywords

dimensionality reductionlow-rank matrix factorizationhigher-order principle component analysisprobabilistic projection

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Image analysis in multivariate analysis (62H35) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Multilevel Matrix-Variate Analysis and its Application to Accelerometry-Measured Physical Activity in Clinical Populations

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• An introduction to variational methods for graphical models
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• On the Best Rank-1 and Rank-(R₁ ,R₂ ,. . .,R_N) Approximation of Higher-Order Tensors
• Learning the parts of objects by non-negative matrix factorization
• Generalized low rank approximations of matrices

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